Richard J. Traub

6.4k citations
100 papers · 5.2k indexed · 1 hit paper · h-index 42
Topics
Pain Mechanisms and Treatments (67 papers)Neuropeptides and Animal Physiology (27 papers)Gastrointestinal motility and disorders (13 papers)
Journals
Journal of NeuroscienceSHILAP Revista de lepidopterologíaGastroenterology

In The Last Decade

Richard J. Traub

100 papers receiving 5.1k citations

Hit Papers

Studying sex and gender differences in pain and analgesia...20072026201320192007250500750

Peers

Richard J. Traub
Comparison fields: 5 of 144
  • Physiology 3.3k
  • Cellular and Molecular Neuroscience 1.8k
  • Gastroenterology 806
  • Pharmacology 759
  • Molecular Biology 702
Replace Fernando Cerveró with:
Fernando Cerveró United Kingdom
Timothy J. Ness United States
G. F. Gebhart United States
Joshua A. Bueller United States
Stephen T. Meller United States
Anne Z. Murphy United States
Yu‐Qiu Zhang China
Joseph G. Verbalis United States
Paul G. Green United States
Terence J. Coderre Canada
Richard J. Traub relative to Fernando Cerveró United Kingdom Fernando Cerveró's profile →
Citations per field
00.5×1.5×
Fernando Cerveró · 1×
Citations per year

Countries citing papers authored by Richard J. Traub

Since Specialization
Citations

This map shows the geographic impact of Richard J. Traub's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Richard J. Traub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard J. Traub more than expected).

Fields of papers citing papers by Richard J. Traub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard J. Traub. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Richard J. Traub. The network helps show where Richard J. Traub may publish in the future.

Co-authorship network of co-authors of Richard J. Traub

This figure shows the co-authorship network connecting the top 25 collaborators of Richard J. Traub. A scholar is included among the top collaborators of Richard J. Traub based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard J. Traub. Richard J. Traub is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 4
3 6
4 9
5 44
6 55
7 41
8 34
9 25
10 60
11 102
12 15
13 38
14 10
15 102
16 106
17 194
18 1
19 85
20 44

About Richard J. Traub

Richard J. Traub is a scholar working on Physiology, Gastroenterology and Cellular and Molecular Neuroscience, having authored 100 papers that have together received 5.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (67 papers), Neuropeptides and Animal Physiology (27 papers) and Gastrointestinal motility and disorders (13 papers). The work is most often cited by research in Gastroenterology (806 citations), Physiology (3.3k citations) and Behavioral Neuroscience (393 citations). Richard J. Traub has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yaping Ji, Anne Z. Murphy, Gerald F. Gebhart, Ana Solodkin, Ronald Dubner, Michael S. Gold, Bin Tang, Janice L.K. Hylden, Richard L. Nahin and M.A. Ruda. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Gastroenterology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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